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1. Rationale and design of the CV-PREVITAL study: an Italian multiple cohort randomised controlled trial investigating innovative digital strategies in primary cardiovascular prevention

Author

Baldassarre, D, Iacoviello, L, Baetta, R, Roncaglioni, M, Condorelli, G, Remuzzi, G, Gensini, G, Frati, L, Ricciardi, W, Conaldi, P, Uccelli, A, Blandini, F, Bosari, S, Scambia, G, Fini, M, Di Malta, A, Amato, M, Veglia, F, Bonomi, A, Klersy, C, Colazzo, F, Pengo, M, Gorini, F, Auteri, L, Ferrante, G, Baviera, M, Ambrosio, G, Catapano, A, Gialluisi, A, Malavazos, A, Castelvecchio, S, Corsi-Romanelli, M, Cardani, R, La Rovere, M, Agnese, V, Pane, B, Prati, D, Spinardi, L, Liuzzo, G, Arbustini, E, Volterrani, M, Visconti, M, Werba, J, Genovese, S, Bilo, G, Invitti, C, Di Blasio, A, Lombardi, C, Faini, A, Rosa, D, Ojeda-Fernandez, L, Foresta, A, De Curtis, A, Di Castelnuovo, A, Scalvini, S, Pierobon, A, Gorini, A, Valenti, L, Luzi, L, Racca, A, Bandi, M, Tremoli, E, Menicanti, L, Parati, G, Pompilio, G, Colombo, G, Vavassori, C, Biondi, M, Frigerio, B, Ravani, A, Sansaro, D, Coggi, D, Romandini, A, Giroli, M, Giuliani, M, Bonmi, A, Rondinelli, M, Trudu, C, Cinieri, C, Monturano, M, Colazo, F, Inviti, C, Di Blasi, A, Torlasco, C, Gilardini, L, Soranna, D, Zambon, A, Perger, E, Zanotti, L, Badano, L, Cova, L, Gentilini, D, Grappiolo, L, Condoreli, G, Ferante, G, Papa, L, Savevski, V, Ieva, F, Romano, I, Remzzi, G, Ojeda, L, Clerici, F, Palumbo, A, Genini, G, Catpano, A, Mattioli, R, Longhi, E, Mantovani, L, Madotto, F, Bonaccio, M, Gianfagna, F, Ghulam, A, Magnacca, S, Noro, F, Costanzo, S, Esposito, S, Orlandi, S, Persichillo, M, Bracone, F, Panzera, T, Ruggiero, E, Parisi, R, Franciosa, S, Morelli, M, De Rita, F, Cerletti, C, de Gaetano, G, Donati, M, Mencanti, L, Romanelli, M, Cerri, A, Dubini, C, Trevisan, M, Renna, L, Milani, V, Boveri, S, Giubbilini, P, Ramputi, L, Baroni, I, De Angeli, G, Riciardi, W, Olmetti, F, Bussotti, M, Gaetano, C, Baiardi, P, Bachetti, T, Balbi, M, Comini, L, Lorenzoni, M, Olivares, A, Traversi, E, Garre, C, Sideri, R, Clemenza, F, Gentile, G, Caruana, G, Cuscino, N, Di Gesaro, G, Greco, A, Loddo, I, Tuzzolino, F, Ucelli, A, Palombo, D, Spinella, G, Mozzetta, G, Ameri, P, Zoppoli, G, Finotello, A, Porto, I, Pratesi, G, Bladini, F, Spnardi, L, Clerici, M, Pelusi, S, Bianco, C, Carpani, R, Periti, G, Margarita, S, Lanza, G, Severino, A, Pedicino, D, D'Amario, D, D'Aiello, A, Vinci, R, Bonanni, A, Brecciaroli, M, Filomia, S, Pastorino, R, Boccia, S, Urbani, A, Sanguinetti, M, Santoliquido, A, Proto, L, Tarquini, D, Grimaldi, M, Leonardi, S, Elia, A, Currao, A, Urtis, M, Di Toro, A, Giuliani, L, Caminiti, G, Marcolongo, F, Sposato, B, Guadagni, F, Morsella, V, Marziale, A, Protti, G, Baldassarre D., Iacoviello L., Baetta R., Roncaglioni M. C., Condorelli G., Remuzzi G., Gensini G., Frati L., Ricciardi W., Conaldi P. G., Uccelli A., Blandini F., Bosari S., Scambia G., Fini M., Di Malta A., Amato M., Veglia F., Bonomi A., Klersy C., Colazzo F., Pengo M., Gorini F., Auteri L., Ferrante G., Baviera M., Ambrosio G., Catapano A., Gialluisi A., Malavazos A. E., Castelvecchio S., Corsi-Romanelli M. M., Cardani R., La Rovere M. T., Agnese V., Pane B., Prati D., Spinardi L., Liuzzo G., Arbustini E., Volterrani M., Visconti M., Werba J. P., Genovese S., Bilo G., Invitti C., Di Blasio A., Lombardi C., Faini A., Rosa D., Ojeda-Fernandez L., Foresta A., De Curtis A., Di Castelnuovo A., Scalvini S., Pierobon A., Gorini A., Valenti L., Luzi L., Racca A., Bandi M., Tremoli E., Menicanti L., Parati G., Pompilio G., Colombo G., Vavassori C., Biondi M. L., Frigerio B., Ravani A., Sansaro D., Coggi D., Romandini A., Giroli M., Giuliani M., Bonmi A., Rondinelli M., Trudu C., Cinieri C., Monturano M., Colazo F., Inviti C., Di Blasi A., Torlasco C., Gilardini L., Soranna D., Zambon A., Perger E., Zanotti L., Badano L., Cova L., Gentilini D., Grappiolo L., Condoreli G., Ferante G., Papa L., Savevski V., Ieva F., Romano I., Remzzi G., Ojeda L., Clerici F., Palumbo A., Genini G. F., Catpano A., Mattioli R., Longhi E., Mantovani L. G., Madotto F., Bonaccio M., Gianfagna F., Ghulam A., Magnacca S., Noro F., Costanzo S., Esposito S., Orlandi S., Persichillo M., Bracone F., Panzera T., Ruggiero E., Parisi R., Franciosa S., Morelli M., De Rita F., Cerletti C., de Gaetano G., Donati M. B., Mencanti L., Romanelli M. M. C., Cerri A., Dubini C., Trevisan M. B., Renna L. V., Milani V., Boveri S., Giubbilini P., Ramputi L., Baroni I., De Angeli G., Riciardi W., Olmetti F., Bussotti M., Gaetano C., Baiardi P., Bachetti T., Balbi M., Comini L., Lorenzoni M., Olivares A., Traversi E., Garre C., Sideri R., Clemenza F., Gentile G., Caruana G., Cuscino N., Di Gesaro G., Greco A., Loddo I., Tuzzolino F., Ucelli A., Palombo D., Spinella G., Mozzetta G., Ameri P., Zoppoli G., Finotello A., Porto I., Pratesi G., Bladini F., Spnardi L., Clerici M., Pelusi S., Bianco C., Carpani R., Periti G., Margarita S., Lanza G. A., Severino A., Pedicino D., D'Amario D., D'Aiello A., Vinci R., Bonanni A., Brecciaroli M., Filomia S., Pastorino R., Boccia S., Urbani A., Sanguinetti M., Santoliquido A., Proto L., Tarquini D., Grimaldi M. C., Leonardi S., Elia A., Currao A., Urtis M., Di Toro A., Giuliani L., Caminiti G., Marcolongo F., Sposato B., Guadagni F., Morsella V., Marziale A., Protti G., Baldassarre, D, Iacoviello, L, Baetta, R, Roncaglioni, M, Condorelli, G, Remuzzi, G, Gensini, G, Frati, L, Ricciardi, W, Conaldi, P, Uccelli, A, Blandini, F, Bosari, S, Scambia, G, Fini, M, Di Malta, A, Amato, M, Veglia, F, Bonomi, A, Klersy, C, Colazzo, F, Pengo, M, Gorini, F, Auteri, L, Ferrante, G, Baviera, M, Ambrosio, G, Catapano, A, Gialluisi, A, Malavazos, A, Castelvecchio, S, Corsi-Romanelli, M, Cardani, R, La Rovere, M, Agnese, V, Pane, B, Prati, D, Spinardi, L, Liuzzo, G, Arbustini, E, Volterrani, M, Visconti, M, Werba, J, Genovese, S, Bilo, G, Invitti, C, Di Blasio, A, Lombardi, C, Faini, A, Rosa, D, Ojeda-Fernandez, L, Foresta, A, De Curtis, A, Di Castelnuovo, A, Scalvini, S, Pierobon, A, Gorini, A, Valenti, L, Luzi, L, Racca, A, Bandi, M, Tremoli, E, Menicanti, L, Parati, G, Pompilio, G, Colombo, G, Vavassori, C, Biondi, M, Frigerio, B, Ravani, A, Sansaro, D, Coggi, D, Romandini, A, Giroli, M, Giuliani, M, Bonmi, A, Rondinelli, M, Trudu, C, Cinieri, C, Monturano, M, Colazo, F, Inviti, C, Di Blasi, A, Torlasco, C, Gilardini, L, Soranna, D, Zambon, A, Perger, E, Zanotti, L, Badano, L, Cova, L, Gentilini, D, Grappiolo, L, Condoreli, G, Ferante, G, Papa, L, Savevski, V, Ieva, F, Romano, I, Remzzi, G, Ojeda, L, Clerici, F, Palumbo, A, Genini, G, Catpano, A, Mattioli, R, Longhi, E, Mantovani, L, Madotto, F, Bonaccio, M, Gianfagna, F, Ghulam, A, Magnacca, S, Noro, F, Costanzo, S, Esposito, S, Orlandi, S, Persichillo, M, Bracone, F, Panzera, T, Ruggiero, E, Parisi, R, Franciosa, S, Morelli, M, De Rita, F, Cerletti, C, de Gaetano, G, Donati, M, Mencanti, L, Romanelli, M, Cerri, A, Dubini, C, Trevisan, M, Renna, L, Milani, V, Boveri, S, Giubbilini, P, Ramputi, L, Baroni, I, De Angeli, G, Riciardi, W, Olmetti, F, Bussotti, M, Gaetano, C, Baiardi, P, Bachetti, T, Balbi, M, Comini, L, Lorenzoni, M, Olivares, A, Traversi, E, Garre, C, Sideri, R, Clemenza, F, Gentile, G, Caruana, G, Cuscino, N, Di Gesaro, G, Greco, A, Loddo, I, Tuzzolino, F, Ucelli, A, Palombo, D, Spinella, G, Mozzetta, G, Ameri, P, Zoppoli, G, Finotello, A, Porto, I, Pratesi, G, Bladini, F, Spnardi, L, Clerici, M, Pelusi, S, Bianco, C, Carpani, R, Periti, G, Margarita, S, Lanza, G, Severino, A, Pedicino, D, D'Amario, D, D'Aiello, A, Vinci, R, Bonanni, A, Brecciaroli, M, Filomia, S, Pastorino, R, Boccia, S, Urbani, A, Sanguinetti, M, Santoliquido, A, Proto, L, Tarquini, D, Grimaldi, M, Leonardi, S, Elia, A, Currao, A, Urtis, M, Di Toro, A, Giuliani, L, Caminiti, G, Marcolongo, F, Sposato, B, Guadagni, F, Morsella, V, Marziale, A, Protti, G, Baldassarre D., Iacoviello L., Baetta R., Roncaglioni M. C., Condorelli G., Remuzzi G., Gensini G., Frati L., Ricciardi W., Conaldi P. G., Uccelli A., Blandini F., Bosari S., Scambia G., Fini M., Di Malta A., Amato M., Veglia F., Bonomi A., Klersy C., Colazzo F., Pengo M., Gorini F., Auteri L., Ferrante G., Baviera M., Ambrosio G., Catapano A., Gialluisi A., Malavazos A. E., Castelvecchio S., Corsi-Romanelli M. M., Cardani R., La Rovere M. T., Agnese V., Pane B., Prati D., Spinardi L., Liuzzo G., Arbustini E., Volterrani M., Visconti M., Werba J. P., Genovese S., Bilo G., Invitti C., Di Blasio A., Lombardi C., Faini A., Rosa D., Ojeda-Fernandez L., Foresta A., De Curtis A., Di Castelnuovo A., Scalvini S., Pierobon A., Gorini A., Valenti L., Luzi L., Racca A., Bandi M., Tremoli E., Menicanti L., Parati G., Pompilio G., Colombo G., Vavassori C., Biondi M. L., Frigerio B., Ravani A., Sansaro D., Coggi D., Romandini A., Giroli M., Giuliani M., Bonmi A., Rondinelli M., Trudu C., Cinieri C., Monturano M., Colazo F., Inviti C., Di Blasi A., Torlasco C., Gilardini L., Soranna D., Zambon A., Perger E., Zanotti L., Badano L., Cova L., Gentilini D., Grappiolo L., Condoreli G., Ferante G., Papa L., Savevski V., Ieva F., Romano I., Remzzi G., Ojeda L., Clerici F., Palumbo A., Genini G. F., Catpano A., Mattioli R., Longhi E., Mantovani L. G., Madotto F., Bonaccio M., Gianfagna F., Ghulam A., Magnacca S., Noro F., Costanzo S., Esposito S., Orlandi S., Persichillo M., Bracone F., Panzera T., Ruggiero E., Parisi R., Franciosa S., Morelli M., De Rita F., Cerletti C., de Gaetano G., Donati M. B., Mencanti L., Romanelli M. M. C., Cerri A., Dubini C., Trevisan M. B., Renna L. V., Milani V., Boveri S., Giubbilini P., Ramputi L., Baroni I., De Angeli G., Riciardi W., Olmetti F., Bussotti M., Gaetano C., Baiardi P., Bachetti T., Balbi M., Comini L., Lorenzoni M., Olivares A., Traversi E., Garre C., Sideri R., Clemenza F., Gentile G., Caruana G., Cuscino N., Di Gesaro G., Greco A., Loddo I., Tuzzolino F., Ucelli A., Palombo D., Spinella G., Mozzetta G., Ameri P., Zoppoli G., Finotello A., Porto I., Pratesi G., Bladini F., Spnardi L., Clerici M., Pelusi S., Bianco C., Carpani R., Periti G., Margarita S., Lanza G. A., Severino A., Pedicino D., D'Amario D., D'Aiello A., Vinci R., Bonanni A., Brecciaroli M., Filomia S., Pastorino R., Boccia S., Urbani A., Sanguinetti M., Santoliquido A., Proto L., Tarquini D., Grimaldi M. C., Leonardi S., Elia A., Currao A., Urtis M., Di Toro A., Giuliani L., Caminiti G., Marcolongo F., Sposato B., Guadagni F., Morsella V., Marziale A., and Protti G.

Abstract

Introduction Prevention of cardiovascular disease (CVD) is of key importance in reducing morbidity, disability and mortality worldwide. Observational studies suggest that digital health interventions can be an effective strategy to reduce cardiovascular (CV) risk. However, evidence from large randomised clinical trials is lacking. Methods and analysis The CV-PREVITAL study is a multicentre, prospective, randomised, controlled, open-label interventional trial designed to compare the effectiveness of an educational and motivational mobile health (mHealth) intervention versus usual care in reducing CV risk. The intervention aims at improving diet, physical activity, sleep quality, psycho-behavioural aspects, as well as promoting smoking cessation and adherence to pharmacological treatment for CV risk factors. The trial aims to enrol approximately 80 000 subjects without overt CVDs referring to general practitioners' offices, community pharmacies or clinics of Scientific Institute for Research, Hospitalization and Health Care (Italian acronym IRCCS) affiliated with the Italian Cardiology Network. All participants are evaluated at baseline and after 12 months to assess the effectiveness of the intervention on short-term endpoints, namely improvement in CV risk score and reduction of major CV risk factors. Beyond the funded life of the study, a long-term (7 years) follow-up is also planned to assess the effectiveness of the intervention on the incidence of major adverse CV events. A series of ancillary studies designed to evaluate the effect of the mHealth intervention on additional risk biomarkers are also performed. Ethics and dissemination This study received ethics approval from the ethics committee of the coordinating centre (Monzino Cardiology Center; R1256/20-CCM 1319) and from all other relevant IRBs and ethics committees. Findings are disseminated through scientific meetings and peer-reviewed journals and via social media. Partners are informed about the study's

Published
2023

4. BNT162b2 Booster Dose Elicits a Robust Antibody Response in Subjects with Abdominal Obesity and Previous SARS-CoV-2 Infection.

Author

Malavazos AE, Dubini C, Milani V, Boveri S, Meregalli C, Bertolini C, Buscemi C, Cardani R, Renna LV, Trevisan MB, Scravaglieri V, Cuppone MT, Menicanti L, Costa E, Ambrogi F, Ruocco C, Carruba M, Iacobellis G, Nisoli E, and Corsi Romanelli MM

Abstract

Little is known about the long-term durability of the induced immune response in subjects with obesity, particularly in those with an abdominal distribution of adipose tissue. We evaluated SARS-CoV-2-specific antibody responses after BNT162b2 vaccine booster dose, comparing individuals with and without abdominal obesity (AO), discerning between individuals previously infected or not. IgG-TrimericS were measured in 511 subjects at baseline, on the 21st day after vaccine dose 1, and at 1, 3, 6, and 9 months from dose 2, and at 1 and 3 months following the booster dose. To detect SARS-CoV-2 infection, nucleocapsid antibodies were measured at baseline and at the end of the study. Multivariable linear regression evaluated the three-month difference in the absolute variation in IgG-TrimericS levels from booster dose, showing AO and SARS-CoV-2 infection status interactions ( p = 0.016). Regardless of possible confounding factors and IgG-TrimericS levels at the booster dose, AO is associated with a higher absolute change in IgG-TrimericS in prior infected individuals ( p = 0.0125). In the same regression model, no interaction is highlighted using BMI ( p = 0.418). The robust response in the development of antibodies after booster dose, observed in people with AO and previous infection, may support the recommendations to administer a booster dose in this population group.

Published
2023
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5. Semaglutide therapy decreases epicardial fat inflammation and improves psoriasis severity in patients affected by abdominal obesity and type-2 diabetes.

Author

Malavazos AE, Meregalli C, Sorrentino F, Vignati A, Dubini C, Scravaglieri V, Basilico S, Boniardi F, Spagnolo P, Malagoli P, Romanelli P, Secchi F, and Iacobellis G

Abstract

Summary: Psoriasis is often associated with abdominal obesity and type-2 diabetes (T2D). The inflammatory process in psoriasis can target adipose tissue depots, especially those surrounding the heart and coronary arteries, exposing to an increased risk of cardiovascular diseases. A 50-year-old female patient referred to us for abdominal obesity and T2D, which were not controlled with lifestyle modifications. She had suffered from psoriasis for some years and was treated with guselkumab, without success. Epicardial adipose tissue (EAT) attenuation and pericoronary adipose tissue (PCAT) attenuation for each coronary, defined as mean attenuation expressed in Hounsfield unit (HU), were assessed by routine coronary computed tomography angiography. At baseline, EAT attenuation was -80 HU and PCAT attenuation of the right coronary artery (RCA) was -68 HU, values associated with an increased cardiac mortality risk. Psoriasis area and severity index (PASI) was 12.0, indicating severe psoriasis, while dermatology life quality index (DLQI) was 20, indicating a negative effect on the patient's life. Semaglutide (starting with 0.25 mg/week for 4 weeks, increased to 0.50 mg/week for 16 weeks, and then to 1 mg/week) was started. After 10 months, semaglutide treatment normalized glycated hemoglobin and induced weight loss, particularly at abdominal level, also followed by a reduction in computed tomography-measured EAT volume. EAT attenuation and PCAT attenuation of RCA decreased, showing an important reduction of 17.5 and 5.9% respectively, compared with baseline. PASI and DLQI decreased by 98.3 and 95% respectively, indicating an improvement in psoriasis skin lesions and an important amelioration of the patient's quality of life, compared with baseline., Learning Points: Psoriasis patients affected by obesity and type-2 diabetes (T2D) are often resistant to biologic therapies. Psoriasis is often associated with abdominal obesity, T2D, and cardiovascular diseases (CVD), given their shared inflammatory properties and pathogenic similarities. Epicardial adipose tissue (EAT) inflammation can cause the distinctive pattern of CVD seen in psoriasis. EAT and pericoronary adipose tissue (PCAT) attenuation, assessed by routine coronary computed tomography angiography (CCTA), can be used as biomarkers of inflammation and allow monitoring of medical anti-inflammatory therapies. The actions of semaglutide to reduce energy intake, improve glycemic control, and produce effective weight loss, particularly at the visceral fat depot level, can diminish adipose tissue dysfunction, reduce EAT attenuation and PCAT attenuation of the right coronary artery (RCA) and concomitantly ameliorate the clinical severity of psoriasis. Semaglutide therapy may be considered in psoriasis patients affected by T2D and abdominal obesity, despite low cardiovascular risk by traditional risk scores, who are resistant to biologic therapies.

Published
2023
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6. Human epicardial adipose tissue expresses glucose-dependent insulinotropic polypeptide, glucagon, and glucagon-like peptide-1 receptors as potential targets of pleiotropic therapies.

Author

Malavazos AE, Iacobellis G, Dozio E, Basilico S, Di Vincenzo A, Dubini C, Menicanti L, Vianello E, Meregalli C, Ruocco C, Ragni M, Secchi F, Spagnolo P, Castelvecchio S, Morricone L, Buscemi S, Giordano A, Goldberger JJ, Carruba M, Cinti S, Corsi Romanelli MM, and Nisoli E

Subjects
Male, Humans, Middle Aged, Aged, Female, Endothelial Cells metabolism, Adipose Tissue metabolism, Gastric Inhibitory Polypeptide metabolism, Gastric Inhibitory Polypeptide pharmacology, Glucagon-Like Peptide 1, Receptors, G-Protein-Coupled genetics, Glucose, Fatty Acids, Glucagon metabolism, Glucagon-Like Peptide-1 Receptor genetics, Glucagon-Like Peptide-1 Receptor metabolism
Abstract

Aims: Human epicardial adipose tissue (EAT) plays a crucial role in the development and progression of coronary artery disease, atrial fibrillation, and heart failure. Microscopically, EAT is composed of adipocytes, nerve tissues, inflammatory, stromovascular, and immune cells. Epicardial adipose tissue is a white adipose tissue, albeit it also has brown fat-like or beige fat-like features. No muscle fascia divides EAT and myocardium; this allows a direct interaction and crosstalk between the epicardial fat and the myocardium. Thus, it might be a therapeutic target for pharmaceutical compounds acting on G-protein-coupled receptors, such as those for glucose-dependent insulinotropic polypeptide (GIP), glucagon (GCG), and glucagon-like peptide-1 (GLP-1), whose selective stimulation with innovative drugs has demonstrated beneficial cardiovascular effects. The precise mechanism of these novel drugs and their tissue and cellular target(s) need to be better understood. We evaluate whether human EAT expresses GIP, GCG, and GLP-1 receptors and whether their presence is related to EAT transcriptome. We also investigated protein expression and cell-type localization specifically for GIP receptor (GIPR) and glucagon receptor (GCGR)., Methods and Results: Epicardial adipose tissue samples were collected from 33 patients affected by cardiovascular diseases undergoing open heart surgery (90.9% males, age 67.2 ± 10.5 years mean ± SD). Microarray and immunohistochemistry analyses were performed. Microarray analysis showed that GIPR and GCGR messenger ribonucleic acids (mRNAs) are expressed in EAT, beyond confirming the previously found GLP-1 [3776 ± 1377 arbitrary unit (A.U.), 17.77 ± 14.91 A.U., and 3.41 ± 2.27 A.U., respectively]. The immunohistochemical analysis consistently indicates that GIPR and GCGR are expressed in EAT, mainly in macrophages, isolated, and in crown-like structures. In contrast, only some mature adipocytes of different sizes showed cytoplasmic immunostaining, similar to endothelial cells and pericytes in the capillaries and pre-capillary vascular structures. Notably, EAT GIPR is statistically associated with the low expression of genes involved in free fatty acid (FFA) oxidation and transport and those promoting FFA biosynthesis and adipogenesis (P < 0.01). Epicardial adipose tissue GCGR, in turn, is related to genes involved in FFA transport, mitochondrial fatty acid oxidation, and white-to-brown adipocyte differentiation, in addition to genes involved in the reduction of fatty acid biosynthesis and adipogenesis (P < 0.01)., Conclusions: Having reported the expression of the GLP-1 receptor previously, here, we showed that GIPR and GCGR similarly present at mRNA and protein levels in human EAT, particularly in macrophages and partially adipocytes, suggesting these G-protein-coupled receptors as pharmacological targets on the ongoing innovative drugs, which seem cardiometabolically healthy well beyond their effects on glucose and body weight., Competing Interests: Conflict of interest: None declared., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Published
2023
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7. Impact of BNT162b2 Booster Dose on SARS-CoV-2 Anti-Trimeric Spike Antibody Dynamics in a Large Cohort of Italian Health Care Workers.

Author

Renna LV, Bertani F, Podio A, Boveri S, Carrara M, Pinton A, Milani V, Spuria G, Nizza AF, Basilico S, Dubini C, Cerri A, Menicanti L, Corsi-Romanelli MM, Malavazos AE, and Cardani R

Abstract

Accurate studies on the dynamics of Pfizer-Biontech BNT162b2-induced antibodies are crucial to better tailor booster dose administration depending on age, comorbidities, and previous natural infection with SARS-CoV-2. To date, little is known about the durability and kinetics of antibody titers months after receiving a booster dose. In this work, we studied the dynamic of anti-Trimeric Spike (anti-TrimericS) IgG titer in the healthcare worker population of a large academic hospital in Northern Italy, in those who had received two vaccine doses plus a booster dose. Blood samples were collected on the day of dose 1, dose 2, then 1 month, 3 months, and 6 months after dose 2, the day of the administration of the booster dose, then 1 month and 3 months after the booster dose. The vaccination immunogenicity was evaluated by dosing anti-TrimericS IgG titer, which was further studied in relation to SARS-CoV-2 infection status, age, and sex. Our results suggest that after the booster dose, the anti-TrimericS IgG production was higher in the subjects that were infected only after the completion of the vaccination cycle, compared to those that were infected both before and after the vaccination campaign. Moreover, the booster dose administration exerts a leveling effect, mitigating the differences in the immunogenicity dependent on sex and age.

Published
2023
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8. The density of crown-like structures in epicardial adipose tissue could play a role in cardiovascular diseases.

Author

Malavazos AE, Di Vincenzo A, Iacobellis G, Basilico S, Dubini C, Morricone L, Menicanti L, Luca T, Giordano A, Castorina S, Carruba M, Nisoli E, Del Prato S, and Cinti S

Subjects
Adipose Tissue, Humans, Obesity, Obesity, Abdominal, Pericardium pathology, Weight Gain, Cardiovascular Diseases
Abstract

Purpose: The visceral fat of patients affected by abdominal obesity is inflamed, and the main histopathologic feature is the high density of crown-like structures (CLS). Epicardial adipose tissue (EAT) is a visceral fat of paramount importance for its relationships with coronary vessels and myocardium. Its inflammation in patients with abdominal obesity could be of clinical relevance, but histopathological studies on CLS density in EAT are lacking. This study aimed to assess the histopathology of EAT biopsies obtained from patients undergoing open-heart surgery., Methods: We collected EAT biopsies from 10 patients undergoing open-heart surgery for elective coronary artery bypass grafting (CABG) (n = 5) or valvular replacement (VR) (n = 5). Biopsies were treated for light microscopy and immunohistochemistry. We quantify the CLS density in each EAT sample., Results: Despite all patients having abdominal obesity, in EAT samples, no CLS were detected in the VR group; in contrast, CLS were detected in the CABG group (about 17 CLS/10 4 adipocytes vs. 0.0 CLS/10 4 adipocytes, CABG vs. VR group, respectively). An impressive density of CLS (100 times that of other patients) was found in one patient (LS) in the CABG group that had a relevant anamnestic aspect: relatively rapid increase of weight gain, especially in abdominal adipose tissue, coincident with myocardial infarction., Conclusions: CLS density could be an important predictive tool for cardiovascular diseases. Furthermore, the LS case implies a role for timing in weight gain., Level of Evidence: No level of evidence; this is a basic science study., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Published
2022
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10. Antibody responses to BNT162b2 mRNA vaccine: Infection-naïve individuals with abdominal obesity warrant attention.

Author

Malavazos AE, Basilico S, Iacobellis G, Milani V, Cardani R, Boniardi F, Dubini C, Prandoni I, Capitanio G, Renna LV, Boveri S, Rigolini R, Carrara M, Spuria G, Cuppone T, D'acquisto A, Carpinelli L, Sacchi M, Morricone L, Secchi F, Costa E, Menicanti L, Nisoli E, Carruba M, Ambrogi F, and Corsi Romanelli MM

Subjects
Antibody Formation, Attention, COVID-19 Vaccines, Humans, Obesity, Obesity, Abdominal, SARS-CoV-2, Vaccines, Synthetic, mRNA Vaccines, BNT162 Vaccine, COVID-19
Abstract

Objective: The excess of visceral adipose tissue might hinder and delay immune response. How people with abdominal obesity (AO) will respond to mRNA vaccines against SARS-CoV-2 is yet to be established. SARS-CoV-2-specific antibody responses were evaluated after the first and second dose of the BNT162b2 mRNA vaccine, comparing the response of individuals with AO with the response of those without, and discerning between individuals with or without prior infection., Methods: Immunoglobulin G (IgG)-neutralizing antibodies against the Trimeric complex (IgG-TrimericS) were measured at four time points: at baseline, at day 21 after vaccine dose 1, and at 1 and 3 months after dose 2. Nucleocapsid antibodies were assessed to detect prior SARS-CoV-2 infection. Waist circumference was measured to determine AO., Results: Between the first and third month after vaccine dose 2, the drop in IgG-TrimericS levels was more remarkable in individuals with AO compared with those without AO (2.44-fold [95% CI: 2.22-2.63] vs. 1.82-fold [95% CI: 1.69-1.92], respectively, p < 0.001). Multivariable linear regression confirmed this result after inclusion of assessed confounders (p < 0.001)., Conclusions: The waning antibody levels in individuals with AO may further support recent recommendations to offer booster vaccines to adults with high-risk medical conditions, including obesity, and particularly to those with a more prevalent AO phenotype., (© 2021 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society (TOS).)

Published
2022
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11. Abdominal obesity phenotype is associated with COVID-19 chest X-ray severity score better than BMI-based obesity.

Author

Malavazos AE, Secchi F, Basilico S, Capitanio G, Boveri S, Milani V, Dubini C, Schiaffino S, Morricone L, Foschini C, Gobbo G, Piccinni R, Saibene A, Sardanelli F, Menicanti L, Guazzi M, Dong C, Romanelli MMC, Carruba M, and Iacobellis G

Subjects
Body Mass Index, Cross-Sectional Studies, Humans, Obesity complications, Obesity diagnostic imaging, Phenotype, Retrospective Studies, Risk Factors, SARS-CoV-2, Waist Circumference, X-Rays, COVID-19, Obesity, Abdominal complications, Obesity, Abdominal diagnostic imaging
Abstract

Purpose: Chest X-ray (CXR) severity score and BMI-based obesity are predictive risk factors for COVID-19 hospital admission. However, the relationship between abdominal obesity and CXR severity score has not yet been fully explored., Methods: This retrospective cohort study analyzed the association of different adiposity indexes, including waist circumference and body mass index (BMI), with CXR severity score in 215 hospitalized patients with COVID-19., Results: Patients with abdominal obesity showed significantly higher CXR severity scores and had higher rates of CXR severity scores ≥ 8 compared to those without abdominal obesity (P < 0.001; P = 0.001, respectively). By contrast, patients with normal weight, with overweight and those with BMI-based obesity showed no significant differences in either CXR severity scores or in the rates of CXR severity scores ≥ 8 (P = 0.104; P = 0.271, respectively). Waist circumference and waist-to-height ratio (WHtR) correlated more closely with CXR severity scores than BMI (r = 0.43, P < 0.001; r = 0.41, P < 0.001; r = 0.17, P = 0.012, respectively). The area under the curves (AUCs) for waist circumference and WHtR were significantly higher than that for BMI in identifying a high CXR severity score (≥ 8) (0.68 [0.60-0.75] and 0.67 [0.60-0.74] vs 0.58 [0.51-0.66], P = 0.001). A multivariate analysis indicated abdominal obesity (risk ratio: 1.75, 95% CI: 1.25-2.45, P < 0.001), bronchial asthma (risk ratio: 1.73, 95% CI: 1.07-2.81, P = 0.026) and oxygen saturation at admission (risk ratio: 0.96, 95% CI: 0.94-0.97, P < 0.001) as the only independent factors associated with high CXR severity scores., Conclusion: Abdominal obesity phenotype is associated with a high CXR severity score better than BMI-based obesity in hospitalized patients with COVID-19. Therefore, when visiting the patient in a hospital setting, waist circumference should be measured, and patients with abdominal obesity should be monitored closely. Level of evidence Cross-sectional descriptive study, Level V., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Published
2022
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13. Epicardial fat inflammation response to COVID-19 therapies.

Author

Iacobellis G, Malavazos AE, Basilico S, Tresoldi S, Rinaldo RF, Dubini C, Capitanio G, Serpi F, Schiaffino S, Oliva OA, Cariati M, Morricone L, Centanni S, Sardanelli F, Carruba M, Corsi Romanelli MM, and Secchi F

Subjects
Aged, Antibodies, Monoclonal, Humanized therapeutic use, Female, Humans, Inflammation, Male, Middle Aged, Retrospective Studies, Dexamethasone therapeutic use, Intra-Abdominal Fat diagnostic imaging, Pericardium diagnostic imaging, COVID-19 Drug Treatment
Abstract

Objective: Adipose tissue plays a role in the novel coronavirus disease 2019 (COVID-19). Epicardial adipose tissue (EAT), a unique visceral fat, presents with a high degree of inflammation in severe COVID-19. Whether and how adipose tissue may respond to the COVID-19 therapies is unknown., Methods: The difference in computed tomography-measured EAT and subcutaneous (SAT) attenuation, defined as mean attenuation expressed in Hounsfield units (HU), was retrospectively analyzed in 72 patients (mean [SD] age was 59.6 [12.4] years, 50 patients [69%] were men) at the hospital admission for COVID-19 and 99 days (interquartile range = 71-129) after discharge., Results: At the admission, EAT-HU was significantly correlated with blood glucose levels, interleukin 6, troponin T levels, and waist circumference. EAT-HU decreased from -87.21 (16.18) to -100.0 (11) (p < 0.001), whereas SAT-HU did not change (-110.21 [12.1] to -111.11 [27.82]; p = 0.78) after therapy. Changes in EAT-HU (expressed as ∆) significantly correlated with dexamethasone therapy (r = -0.46, p = 0.006) and when dexamethasone was combined with tocilizumab (r = -0.24, p = 0.04)., Conclusions: Dexamethasone therapy was associated with significant reduction of EAT inflammation in COVID-19 patients, whereas SAT showed no changes. Anti-inflammatory therapies targeting visceral fat may be helpful in COVID-19., (© 2021 The Obesity Society.)

Published
2021
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14. Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight.

Author

Malavazos AE, Capitanio G, Milani V, Ambrogi F, Matelloni IA, Basilico S, Dubini C, Sironi FM, Stella E, Castaldi S, Secchi F, Menicanti L, Iacobellis G, Corsi Romanelli MM, Carruba MO, and Morricone LF

Subjects
Adolescent, Age Factors, Cardiometabolic Risk Factors, Child, Cross-Sectional Studies, Diagnosis, Differential, Female, Humans, Hypertension epidemiology, Hypertension physiopathology, Italy epidemiology, Male, Obesity, Abdominal epidemiology, Obesity, Abdominal physiopathology, Pediatric Obesity epidemiology, Pediatric Obesity physiopathology, Predictive Value of Tests, Prevalence, Reproducibility of Results, Retrospective Studies, Risk Assessment, Waist-Hip Ratio, Adiposity, Blood Pressure, Body Mass Index, Hypertension diagnosis, Obesity, Abdominal diagnosis, Pediatric Obesity diagnosis
Abstract

Background and Aims: Recently, it has been hypothesized that Tri-Ponderal Mass Index (TMI) may be a valid alternative to Body Mass Index (BMI) when measuring body fat in adolescents. We aimed to verify whether TMI has better accuracy than BMI in discriminating central obesity and hypertension in adolescents with overweight., Methods and Results: This monocentric and retrospective cross-sectional study included 3749 pupils, 1889 males and 1860 females, aged 12-13. BMI (kg/m 2 ) was calculated and expressed as percentiles and as z-scores. TMI (kg/m 3 ) was calculated, and we used pre-defined cut-off previously proposed by Peterson et al.. For central obesity we adopted the Waist-to-Height Ratio (WHtR) discriminatory value of 0.5. Hypertension was defined as blood pressure ≥95th percentile of age- sex-, and height-specific references recommended by NHBPEP Working Group. The discriminant ability of TMI, BMI and BMI z-score, with respect to central obesity and hypertension, was investigated using non-parametric receiver operating characteristic analysis. The overall misclassification rate for central obesity was 8.88% for TMI vs 14.10% for BMI percentiles and vs 14.92% for BMI z-scores (P < 0.001). The overall misclassification rate for hypertension was 7.50% for TMI vs 22.03% for BMI percentiles and vs 25.19% for BMI z-scores (P < 0.001)., Conclusion: TMI is a superior body fat index and it could discriminate body fat distribution more accurately than BMI. This supports the use of TMI, in association with WHtR, to characterize adolescents with overweight and high cardio-metabolic risk. Our analysis needs to be extended to other ethnic groups and replicated in a wider age range and in longitudinal studies., Competing Interests: Declaration of competing interest The authors declare they have no competing interests to declare., (Copyright © 2021 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)

Published
2021
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